#ifndef BOX_H
#define BOX_H

#include "darknet.h"

//typedef struct{
//    float x, y, w, h;
//} box;

typedef struct
{
    float dx, dy, dw, dh;
} dbox;

//typedef struct detection {
//  box bbox;
//  int classes;
//  float *prob;
//  float *mask;
//  float objectness;
//  int sort_class;
//} detection;

typedef struct detection_with_class
{
    detection det;
    // The most probable class id: the best class index in this->prob.
    // Is filled temporary when processing results, otherwise not initialized
    int best_class;
} detection_with_class;

#ifdef __cplusplus
extern "C" {
#endif
box float_to_box(float *f);
float box_iou(box a, box b);
float box_rmse(box a, box b);
dxrep dx_box_iou(box a, box b, IOU_LOSS iou_loss);
float box_giou(box a, box b);
dbox diou(box a, box b);
boxabs to_tblr(box a);
void do_nms(box *boxes, float **probs, int total, int classes, float thresh);
void do_nms_sort_v2(box *boxes, float **probs, int total, int classes, float thresh);
//LIB_API void do_nms_sort(detection *dets, int total, int classes, float thresh);
//LIB_API void do_nms_obj(detection *dets, int total, int classes, float thresh);
box decode_box(box b, box anchor);
box encode_box(box b, box anchor);

// Creates array of detections with prob > thresh and fills best_class for them
// Return number of selected detections in *selected_detections_num
detection_with_class *get_actual_detections(detection *dets, int dets_num, float thresh, int *selected_detections_num, char **names);

#ifdef __cplusplus
}
#endif
#endif
